{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/fb_ss1_news_breakdowns.tsv', delimiter = '\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FB Data - Total Outbound clicks from Facebook over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"date\"] = pd.to_datetime(df[\"year_month\"], format=\"%Y-%m\")\n",
    "sns.set(style = \"whitegrid\")\n",
    "sns.lineplot(x = \"date\", y = \"sum_clicks\", hue = \"news_type\", data=df)\n",
    "plt.gcf().set_size_inches(10, 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FB Data - Percentage of outbound clicks to mainstream news, fake news, and other over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "sum_df = df.groupby(\"year_month\").sum().reset_index()\n",
    "sum_df.columns = [\"year_month\", \"total_num_rows\", \"total_sum_views\", \"total_sum_clicks\"]\n",
    "df[\"year_month\"] = df[\"year_month\"].astype(\"str\")\n",
    "total_df= sum_df.merge(df, on = \"year_month\")\n",
    "total_df[\"percent_views\"] = total_df[\"sum_views\"] / total_df[\"total_sum_views\"]\n",
    "total_df[\"percent_clicks\"] = total_df[\"sum_clicks\"] / total_df[\"total_sum_clicks\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style = \"whitegrid\")\n",
    "sns.lineplot(x = \"date\", y = \"percent_clicks\", hue = \"news_type\", data=total_df)\n",
    "plt.gcf().set_size_inches(10, 6)\n",
    "plt.savefig(\"perc_fb_clicks.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FB Data -  News Percentage by Month / Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>news_type</th>\n",
       "      <th>year_month</th>\n",
       "      <th>percent_clicks</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>fake</td>\n",
       "      <td>2017-01</td>\n",
       "      <td>0.183512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>other</td>\n",
       "      <td>2017-01</td>\n",
       "      <td>0.487319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>msm</td>\n",
       "      <td>2017-01</td>\n",
       "      <td>0.329169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>fake</td>\n",
       "      <td>2017-02</td>\n",
       "      <td>0.175752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>other</td>\n",
       "      <td>2017-02</td>\n",
       "      <td>0.496049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>fake</td>\n",
       "      <td>2018-11</td>\n",
       "      <td>0.106562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>msm</td>\n",
       "      <td>2018-11</td>\n",
       "      <td>0.382116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>msm</td>\n",
       "      <td>2018-12</td>\n",
       "      <td>0.384171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>fake</td>\n",
       "      <td>2018-12</td>\n",
       "      <td>0.095943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>other</td>\n",
       "      <td>2018-12</td>\n",
       "      <td>0.519885</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   news_type year_month  percent_clicks\n",
       "0       fake    2017-01        0.183512\n",
       "48     other    2017-01        0.487319\n",
       "24       msm    2017-01        0.329169\n",
       "1       fake    2017-02        0.175752\n",
       "49     other    2017-02        0.496049\n",
       "..       ...        ...             ...\n",
       "22      fake    2018-11        0.106562\n",
       "46       msm    2018-11        0.382116\n",
       "47       msm    2018-12        0.384171\n",
       "23      fake    2018-12        0.095943\n",
       "71     other    2018-12        0.519885\n",
       "\n",
       "[72 rows x 3 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_df.groupby([\"news_type\", \"year_month\"])[\"percent_clicks\"].mean().reset_index().sort_values(by = \"year_month\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nielsen Data, 12 / 2018\n",
    "- 1000 Consumption Sampled URLs, Referred from FB from 12/2018\n",
    "- Domains only for privacy reasons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "domain                 media_label\n",
       "10best.com             other           1\n",
       "12tomatoes.com         other           2\n",
       "1funny.com             other           1\n",
       "247sports.com          msm             2\n",
       "365daysofcrockpot.com  other           1\n",
       "                                      ..\n",
       "zippo.com              other           1\n",
       "zippyshare.com         other           1\n",
       "zooquizzes.com         other           1\n",
       "zulily.com             other           2\n",
       "zynga.com              other          12\n",
       "Name: count, Length: 591, dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nielsen_df = pd.read_csv(\"data/nielsen_fb_ss1_matches.tsv\", sep = \"\\t\")\n",
    "nielsen_df.groupby([\"domain\", \"media_label\"])[\"count\"].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compare News Percentages for All Nielsen vs. Nielsen, SS1 Matched"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/ipykernel_launcher.py:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Nielsen, all</th>\n",
       "      <th>Nielsen, SS1 URLs dataset</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>media_label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>fake</th>\n",
       "      <td>0.025</td>\n",
       "      <td>0.067961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>msm</th>\n",
       "      <td>0.236</td>\n",
       "      <td>0.385113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>0.739</td>\n",
       "      <td>0.546926</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Nielsen, all  Nielsen, SS1 URLs dataset\n",
       "media_label                                         \n",
       "fake                0.025                   0.067961\n",
       "msm                 0.236                   0.385113\n",
       "other               0.739                   0.546926"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nielsen_vs_ss1_props = nielsen_df.groupby([\"media_label\"])[\"count\", \"num_found_ss1\"].sum()\n",
    "out = nielsen_vs_ss1_props / nielsen_vs_ss1_props.sum()\n",
    "out.columns = [\"Nielsen, all\", \"Nielsen, SS1 URLs dataset\"]\n",
    "out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CrowdTangle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ct = pd.read_csv(\"data/nielsen_crowdtangle_matches.tsv\", delimiter = \"\\t\")\n",
    "df_ct_100 = df_ct[(df_ct[\"share_count\"] >= 100)]\n",
    "df_ct[\"share_count\"] = df_ct[\"share_count\"].fillna(0.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CrowdTangle > 100 Shares, News Percentages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "media_label\n",
       "fake     0.072848\n",
       "msm      0.420530\n",
       "other    0.506623\n",
       "Name: count, dtype: float64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out = df_ct_100.groupby(\"media_label\")[\"count\"].sum()\n",
    "t = out.sum()\n",
    "out / t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n",
      "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  after removing the cwd from sys.path.\n",
      "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"\n"
     ]
    }
   ],
   "source": [
    "df_ct = df_ct.sort_values(by = \"share_count\", ascending = False)\n",
    "df_cum_sum = df_ct[[\"share_count\", \"media_label\"]]\n",
    "df_cum_sum[\"msm\"] = (df_cum_sum[\"media_label\"] == \"msm\").astype(float)\n",
    "df_cum_sum[\"fake\"] = (df_cum_sum[\"media_label\"] == \"fake\").astype(float)\n",
    "df_cum_sum[\"other\"] = (df_cum_sum[\"media_label\"] == \"other\").astype(float)\n",
    "df_cum_sum = df_cum_sum. \\\n",
    "    groupby(\"share_count\"). \\\n",
    "    sum(). \\\n",
    "    sort_values(by = \"share_count\", ascending = False). \\\n",
    "    cumsum(). \\\n",
    "    stack(). \\\n",
    "    reset_index()\n",
    "df_cum_sum.columns = [\"share_count\", \"type\", \"count\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Number of URLs by News Type, as Threshold Increases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(x = \"share_count\", y = \"count\", hue = \"type\", data = df_cum_sum[df_cum_sum[\"share_count\"] <= 1000])\n",
    "ax.set_xlabel(\"Min Share Threshold\")\n",
    "ax.set_ylabel(\"Number of URLs\")\n",
    "plt.gcf().set_size_inches(10, 6)\n",
    "plt.savefig(\"sharecount_ct.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Percentage of News Type, as Threshold Increases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IRFFEeXl5q+chC9rZlBkZGRg5ciQMBgMAYPLkydi+fTuefPJJAMDRo0eh0Wgwfvx4AMBjjz2G6urqYBWnTXihcCIiotZJSkpCfn4+SktLQ12UduV0OqFQKFrcTqVSISkpqVX7DloYKykpQVxcXOCx0WjE4cOHA49zc3MRGxuLZ599FseOHUNKSgqWLl0arOK0Cae2ICIiah25XI4ePXqEuhjtLjMzE4MGDQrKvoMWxhoLMRdPoup2u7F37178v//3/5CWloY333wTr776Kl599dVLPkZWVla7lLUpNqsNGqkamZmZQT0OtR3rJnyxbsIX6yZ8sW7CW7DqJ2hhLD4+PnAZAcDXUmY0GgOP4+Li0K1bN6SlpQEApk+fjoULF7bqGAMGDIBSqWyfAjfiY9OX8No9GDZsWNCOQW2XmZnJuglTrJvwxboJX6yb8HY59eNwOJptQAraAP7Ro0djz549MJlMsNls2LFjR2B8GOCb2dZkMuH48eMAgF27dqF///7BKk6bSMDLIREREVFwBbVlbNGiRZg3bx5cLhfmzJmDgQMHYv78+Vi4cCHS0tLw17/+FUuWLIHNZkNCQgJee+21YBWnTQRBwjFjREREFFRBvTbljBkzMGPGjHrLVq9eHbg/aNCgetd9Cje+qS0YxoiIiCh4OAN/My4+4YCIiIgoGBjGmiEIEraMERERUVAxjDVDwnnGiIiIKMgYxlrAljEiIiIKJoaxZkgEgVGMiIiIgophrBkCOGaMiIiIgothrBm8NiUREREFG8NYMzixBREREQUbw1gzOLUFERERBRvDWDMEQWAYIyIioqBiGGuGAIBDxoiIiCiYGMaawW5KIiIiCjaGsWZI/JcKJyIiIgoWhrFmyKQyuLzuUBeDiIiIrmIMY80wamNQ7TbD4/WEuihERER0lWIYa0a8NhZeiCi3VoS6KERERHSVYhhrRrwuDgBQZC4NcUmIiIjoasUw1oyuhs6QQMDh4uxQF4WIiIiCwO1xh/zSh7KQHj3M6ZU69NJ2xe5ze3HfwNshCLxAEhERdSybyw4RIjRydaiLEjY8Xg/OVuQhuzQHp8rPoquhE6b2vgkahRpmpwU55edxsvwMTpWfRW7VBcRqotHdkITuhi7oHpWErpGdYXFasfn4Duw88x3uTZuFaak3h+z1MIy1oJe2K06VnEdeVQG6GjqHujhERHQNEEUR2aU52HX2e/yQ9xMEQYL7Bt6GkV2GQq/QQSK5sjq2RFGER/TC5XHB5XXD7XHD5XXB5XHD5XUHlrs8bri9Ljg9brh/ttzldcHuduCMKRcnys/A4XYAAGLUUfgh/yd8enIXDEo9LtQUAfBdRaervhPSjH1QZjXh+9z9+PL07sA6if8K1OO6j8DYbteH5hfjxzDWgh5qXwA7XHycYYyIiIKi2mHGaUsezh4tQk75OZw2nUeVowZqmQrju41AqdWE939aj/d/Wg+JIEGkMgIGtR4GVSSiVHoY1JEwqPSIUkciShUZeKyQyls8dkF1ES7UFPuDkBtOj8sfhOoHJrfHBWcjQSoQnmqDVRPPaY9J1AUI6BrZCTd2H4m+cb3RJ64XotUGnDHlYtPxL+B0OzGu+3CkxPRAr+juUMtVgeeKoohSqwnnKvJwrjIPTo8btySPh1Ebc9nlulwMYy3Qy3VIjDDiSHE2poewCZOIiNqXKIrIqypAXnUBolSRiNXGIEZtgFQibfV+ahxmlFjKUWwpRbG5DCXmMogA4nWxMGpjYdTGIF4XC70yIjDkpdJWhe05X+O78/tQYikHAAiFApL0CRiSOAAD4lMxImkIlDIFRFHE4eJsFNaUoNJehQpbNSrt1ai0VeFsRS6qHDWNjnvSytV1Qe2ikBalikSUWg+dQos/frUSFpet2dcol8ohl8h8P/77Mmn9xxq5CnKJvG557TqpDDKJDAqpHLKf7aPBOqkMconcf9vwWDKJrNEhQz2ju+Lp0fObfQ2CIMCojYFRG4PhSYMvrXI7CMPYJRgY3xdfn90Dl8cF+SX8l0FEROHJ5XHhh7wDOFR8DIeLslFpr663XhAERKsNiNNEI1YbgzhNNIzaGKQl9A20oORWXsDXZ/eg2OILXcWWMtj9XWa1IlV6AEDVz/avlClh1MbAoNIjuzQHHq8HQxL745bkG+Apc2DKiIn1WnMuLteghH4YlNCv0dfl9XpR7ahBhb0aFbYqX1CzV9Xdt1XhZPkZVNir4fK4Gjz/16MeRdfITg2DlEQGqUTKMdNBxjB2CQYl9MUXOd/gLz+8jzv7T0OSPrHV/zkREVFoebwe/D1zHb46m4EIhRZpCX0xOKEfekZ1RaW9GmVWE0otJpRaylFqNeFEaQ4ybJXwil4AQI+oLkiJ6YldZ74HBAEJ2lgYdbHoZ0wJtIDF62IRp42BSqYEADjcTpRaylFsKUOxuRQllnKUmMtQZjVhQo9RmJ46EYkRRgBAZmZmo0HsUkgkEl+rlzoSPaK6NLmdKIqwueyosPtCWoWtCnKpDCOShrTpuNQ+GMYuQX9jKuI00dibfxB78w9iSGJ/LB73BP9TICIKgSp7Nfbk/YTvzu9DXnUBBsb3xYikwRgQ3wdmpwVllgqUWctRajGhzOr/sZhQ7g9WE3uOxaPX3QOJUDcIvisaHxPs8XpQbC7F/oLD+DHvAL7I+QaDE/rhiREPBlq/mqOUKZAUmYikyMR2e/2XQxAEaBRqaBRqdNYnhLo45McwdgnUchXenv4yDhUdw4/5B/HfM9/hQOFRDO00INRFIyJqlCiKYf0PY3bpKWzO3gG72+EbdK42IFodCYMqEtH+x1EqPVT+lqIicykyLxxGZsERHCs9Ba/oRdfIzhjeebD/s/lAg2NIBAli1AbEaqPRJy4ZsZpoxOtiMbbb8HpBrDlSiRSd9AmYqU/AzD63wO52QClVhPXvlq48DGOXSBAEDE7sjwHGVBwsOopPjn2OIYn9m3xD1jjM0Co0l/yGJyK6HE6PC+nHPsd/T3+H7lFdcKzkJJJjumNs1+EY1XUodAptve1FUUSFrQoFNcXopI9HtNoAu8uOg0XHEK+LQ5fITpA1MhzD4XbiRNlpHC87DakgQYwmCtFqA2I0UYhRGwLhqSk55eewPmsLDhVlw6DSI0EXh5zyc6iwV8HZyFgmtUwFtVwFk60SAJCkT8TMPpMwtuv1gTPcvaIXp8rP4lT5WRhUesRqohGrjUaUKrLdh5TUdj8StSeGsVaSSWWY1ecWvP/TehwrPYUEXRysLhu6RHYC4Juc7+uze/CvAxugVWiQEtMDN/UcE3ZnbhCFI6/oRaWtGiWWcpRayhGh1GJgfN8rbk6l1nJ6XLA4rbA4rTA7rTA7Lb7HLt/jwDpX3X2b244bu49Cn7he2Jt/EPsuHAoMRj9UdAwjuwxFXlUBVmd+iI+ObsMDg2aj0l6FQ8VHkf7lTuTXFMHmsgPwtf6M6jIMJ8pOo9R/Vp9cIkM3QxJ6RXdDjCYKZqcFJ8rOIMd0Dh6vB4IgNHr2nkauRozagGhNFGI10egT2wtpCX2gV0bg7R/+iYy8TEQotLh/0GxMTr4BSpkCgC8cWl02VPgHnQd+7FWocZjRK7obhnVKC1ym7mISQYLU2F5Ije0VrCoiCiqGsTa4qcdorD+yBf898z2OFGWjylGD4UmDYbJW4lxlPtxeN2I0UUiL74Os4hN4c88/8Oiwe2B12RqcUls7MPTnLWh2lz3wH6bVaYNGUTfzstlhQYmlDBFKHeLCYH4Uorb67vw+ZJWc8A2Y9g+a9ng99baJ00RjVNdhSNInolNEPBIjjIhQ6hrsy+P1wOy0oMZhQY3TjBqHBdUOM8xO363VZUNafCpGdB4CmbThR5/T48K/DmzAuYo86BQaaBUa6BTawK1OoWl0uQQCtp38L7459wOi1ZFI0BmRGGFEgi4OCRFGxGliUOM0+1+jqd5rLbWUw2SrbLRF6GJquQo6ed2xO+sTYHc7sPHYZwAApVSBwYn9ManXOOgUGnhFEckx3SGKInJM5/Bmxt/x9o//AgBopWr0iOmK8d1GoLM+AQm6OPxUmIWvzmQgWm3A4nELYHc7cNp0HmcqcvHtuR9hc9shFSToEdUV01JuxgBjClJje0EqkaLCVolyayVMtgqUWStgslai3Oa7zTGdw3/PfAcAiNFEodxagdv6Tsbtfac0GKguCAK0/t9vkj48xlcRdRSGsTZQyBToHtUF353fCwDQKjTYm38QSpkSU3rfiOs6DURqbE9IJVJcqC7Cos//iFX71tTbR5/YXjhVfhYe0QuFVI7RXa5Dckx3VNqrsf/CIZyrzEfniAR0MXTCj3kH0Cu6G5QyBfKriwKnSksECRaPW4DBif07/HdAdCk8Xg9qHGZU2mtQ5ahGpa0aVY5q1Dgs6B3TA3/98V9QyVXopDOiZ1RXjEgagjj/PECx2mjkVxViR863+PTEf+Hx/+MCABEKLRL8Z6DVOMyocZibnSdJKVVAJpVh15nvYVDpMbbr9RjVdRiUUgXWZW1FD0MSjpacxLHSU+hvTEGN04JCc2mgFaq5ySqlggQe0Yu+ccmwuRzIyMuExWlt9vcSqdIjThONHlFdcV2ngdAptYGgp5XXD34aubrRrjZRFLG/4DAE+KbfUfhbmC4mCAJ6x/TA65OXoKCmGAkRcThx5DiGDRtWb7vBif3xwKDZkEqkgX8MR3e9DoDvH0aXxw2FVN7osIx4XVyjrVW1zz1feQGHi7JxuDgbvaN74J60WRxvRfQzDGNtNDQxDUdLTmJ2vym4e8BMnCo/i0hVRIMPpc76BDw14hc4V5mHCT1G4+ntywAAheZSTO59I7RyNcptlfg+dz++PrcHAJAa0xOz+03BqfKzOFB4FCJEFJpL0ElnxNDEAUjSJyJaE4kNWZ9i+e6/Yf519+GmnqM7/HdA15babqTa1qeLW6Hq7ltQ46hBYUUJ3slbhxqHpdEgc3EX17NjH0efuORGj5mkT8TILkPh9npQYilDYU0JCmuKUVBdjEJzCSSCBHHaGOgVOkQotYhQ+m8VOuiVOt9jhRYKmQJe0YtDRcfwZc5ufJ7zNbad/C8AX3fc/guHIBUkeGrELzCu+/B6ZfCKXthc9kDXoblBV6INA4wp9f4pMjssKDSXoLCmBGVWEyIUOn/IjEasJrrR4NRagiDg+s6DLmlbjUKN5JjuzW7T1ByKEkES6EpsLYkgQY+oLugR1QWz+t7Spn0QXQsYxtro1pQJGNVlKGK10QCAlNieTW47rvtwjIPvA37VzD9BIkigk2vqdZX8YshdsLlsUMgU9S4G29wZUUMSBmDlntVYtW8NKu1VuLX3hEDTf1vOpKq218DpdcErim2ahZquPl/m7MZnJ3f5A5c10K3+cwIEfxeaBnplBKLkenRL6AqDKgIGlR6RKj0ilXoYVBGIVOkhk0jxRc43yK0qQO+YHi2WQyaRolNEPDpFxANIa9NrkQgSDEkcgCGJA2BxWrHvwiGUWStwS/J4/FRwBPG6WPSN693o82q7zy6VTqlFb2WPS3ptRERBDWNbt27FO++8A5fLhYceegj33XdfvfVvv/02Nm7cCL3eN1fLXXfd1WCbcCWTSANBrDWi1YZGlytlikb/+2wuUGkUajw7dgFWZLyHdUe2YOuJnVh6w69wuDgbW45/iVuSx2Fk0lAkRBgDZwB5RS9Om84jShWJEksZuhmS8OXp3fju/D7kVl0I7LtXVDf88ebfXNJ1zejq4fa4cbriPLJLc3C8NAeHio6hq6EzhhuHIEKhRYRSC51CG2hx0im1iFBooZVr6g2yz8zMbNAV9nPTUycG++U0SavQ4MYeowKPL75PRNTRghbGiouLsXLlSqSnp0OhUGDu3LkYMWIEkpPruiOysrLwxhtvYMgQzvzbVjKpDIvHLUBO+Tm8/v0qPL9zeWD+nfRj25F+bDsAXwhMjDCi0lYduKI94Ls0h8PtQGpMT9w/aDZ0Cg0q7dVYd2QL/vz9e5jQYxQGxKfC6Xah2FKKEnM5SixlKLGUQyNX4/5Bt/MSUVeJvKoCvP7dKhSZSwEAnSMScHPPsZibNhM6pbaFZxMRUVsFLYxlZGRg5MiRMBgMAIDJkydj+/btePLJJwPbZGVlYfXq1cjLy8P111+PZ599Fkol53Bpi+SY7lg0aj7++dN6zOgzCWO6XocLNUXIqyrwj7Px/egUGjw6bC5+zD8As8MKjUKNewfe1mh3yubjO3CgMKvR40WpIlFhr0JmwWH0M6agT2wykvQJ0KsiEKmMgEqmbLRVTxRF5FcXwqiNbfM4lGud2+uB3WWH3e2AzW2H7aL7bq8bMepoJOhiEanSN9my6hW9vsu/WEwosZThu9z9OFCYBb1Ch1+Nehhpxj7QqyI6+JUREV2bghbGSkpKEBdXN5jdaDTi8OHDgccWiwV9+/bFs88+i86dO2Px4sX429/+hkWLFgWrSFe9PnG9sHzy84HHSfrEJk8RvyX5hmb3NbvfrZjZ5xacKj+D46WnoVWoYdTG+s9yi4FCKsfuc3uxJ/8nZF44jK/P7qn3fLlEBr0qAnqlDpHKCOj9Ae1A0VGUWsqRoIvD1JSb0N2QhK6RnetN3dFaVfZq7DqTgR5RXdEntmeLk06GI4vTiu9z96Ogugg2f7Cyu+ywuR3+27r7Lq/7kvaplCpg1MUiXhuLWE00LC4ryqwVKLOaYLJW1Ds7MVKlx+19J2Ny8o2IUkcG62USEVEjBLGxWfvawapVq2Cz2QLhasOGDThy5AiWLVvW6PbHjh3D888/j02bNrW4b4fDgaysxltsqOOJoohyVyWqXGZYPTZYPfaLbu2weeyweGywex3opDSipzYJmZXHUOWuCewjUqaDRloXyFJ1PTAiauAlHfvjwh04Y80DAEggIFEVh366ZPSN6Am1NHyDmSiKKLCX4GD1cRw3n4Fb9EAhyKGQNPJTb7miieVySCBBtduMSlc1Kl01qHT7bqvdZqglSkTIdNDLtNDLddD770fItIhRGCAVeMIGEVEwDRgwoNEewKC1jMXHx2P//v2BxyUlJTAajYHHBQUFyMjIwJw5cwD4vphkstYVp6kX1Z4uZSAytZ4oijDZKnG+Mh/nKy/gfNUFWP1zM1XZa/B1+V7cMmRCo6fju70e5Fbm47PMnShEGc5Y83DfwNvRPco3V9SBwqP4siwDX5v24qaeYzCyy1BU2KpQZjWh3N8yVGatQIWtEimxvXBj95E4UXYaBwqPIkodiTv7T0efuF5wuJ1NdqWKoogapwXV9hpUO8yBSUZr57yqvvix0wKdXINhndOw78IhpMb2Qt+4ZGw6tgNnK/OgkilxY49RmNhrLHpGdwvmr73D8H0Tvlg34Yt1E94up35aakQKWhgbPXo03nrrLZhMJqjVauzYsQMvvfRSYL1KpcLrr7+OESNGICkpCWvXrsWkSZOCVRwKM4Ig+K5lp4nC0E71pyqwuex4dNMz2HT8C9yTNgudIuJxvjIfX5/dgxzTeZytzIPLP2N5r6huuH/Q7ZieOhESQYJBCf1w78DbcK4iD9tzvsHO07vxRc43gX1rFRrEqqMQo41GD0MX7L1w0DfHlESKfnG9kVtVgN/vWoG0+D44WnISt/WdDLXMd128CluV/7YSFfZquJvoLlTKlNDXnnHo/zlQmIXTFefRM6orduR8i+2nvkaCLg6/vO5ejOl6fYPZyImI6NoR1JaxRYsWYd68eXC5XJgzZw4GDhyI+fPnY+HChUhLS8OyZcvw+OOPw+VyYejQofjFL34RrOLQFUQtV2FCz9HYkfMt9uYfRKRKD7PTAqkgQc+orril13j0iu4GT5EdN4wY1+g+ukd1wWPX34/Z/W5FYU0xYtS+4Pfz0POgcw5Om84jOaY7NHI17G4H/t+hdOzI+RYAkH7s80CZolUGRKkj0TeuN6LUkYhSR8Kg0vunefBNMqpTahtMB1I7U3qXyE5I0MWhoKYYBdVFGJw4oNELMRMR0bUlaGPGgqm2uY/dlFcvURRRbC7F0ZKTOFpyEiqZEvcOvK3eFAvBrJtqew0UUjlM9ipEqyKvyJMCQonvm/DFuglfrJvw1h7dlB0+ZozocgiCgIQIIxIijLi519gOP37ttA6dGMKIiCjIJC1vQkRERETBwjBGREREFEIMY0REREQhxDBGREREFEIMY0REREQhdElhzGw2AwAOHjyITZs2weVyBbVQRERERNeKFqe2+Mtf/oLc3Fz85je/wYIFC5CcnIx9+/bhlVde6YjyEREREV3VWmwZ++abb/Dyyy9jx44dmDZtGj744AMcP368I8pGREREdNW7pG5KtVqNjIwMjBw5EgDgdDqDWigiIiKia0WLYSwqKgovvvgisrKyMHr0aKxYsQJGo7EjykZERER01WsxjC1fvhxGoxHvvvsu1Go1BEHAa6+91hFlIyIiIrrqtRjGYmNjsWDBAqSlpQEAfvOb32DHjh1BLxgRERHRtaBN84y9/vrr7V0OIiIiomtSm8KYKIrtXQ4iIiKia1KbwpggCO1dDiIiIqJrUpOTvh49erTR5aIosmWMiIiIqJ00GcaeeuqpJp8UFRUVlMIQERERXWuaDGO7du3qyHIQERERXZOaHTP2/fffIysrq96y7Oxs3HPPPUEtFBEREdG1oskw9uqrr+KFF17Ao48+ii+//BJ2ux3Lli3DnDlz0L179w4sIhEREdHVq8luyp07d2LLli0oLS3FK6+8gvfffx9msxkffPABhg0b1pFlJALgO3mEZ/ISEdHVpskwptVqodfrodfrcfToUUyePBlLly6FXC7vyPLRNc5ic+FkbgU+3nUKJ3MrkNI1Cv17xqB/zxi4PTyrl4iIrnxNhjGJpK4H02Aw4Pe//z1ksiY3J2pXX2Xm4aOdJ5FfYgYAaNVyjB+ShJz8Sqz/8gS8IqCUCxhz+ifcfH0XDEyOa7APt8eLH7IKUVBqQXy0BgkxGiTEaKHXKgItbBabC+eLqtG7SxTkMt/f/OGcUmzdfQaDU4yoNjsQa1DDGKVBXJQasQY1FHJpx/0iiIjoqndJ6Uqj0TCIUYdxuDx495MjiIlU4f4pfZDSNQqp3aKgUflaZS02F46eLcfWr47gx6NF2LU/D//7+BikJcfC5fbgZG4lMo4U4LuDBTBV2xvsX62UISFGg5hINY6eKYPN4UGERo7RAzuhxGTFgZOlAIAfsooaLZ8hQok4f0CL0ithiFDCoFP57ut8j6MilJDLfKFNFEVkHi9Bz86RiNar4PF44XJ7oVLyPUVERM2EsaKiIrz88ssN7tdasmRJcEsW5soqbdiXXYwpI7txHJOfx+NFjdWFGqsTZqsLNTYnaixO1FhdMFudsDrcSOsVg+H9EnDoVBlOnDchv9SMC6VmXCgxw+sVodMoYHe6YbW7sfThEejfM6bBcbRqOYb3S4DUdgH9BwzCEyu+wpvrfoIhQokzF6rh9nghk0owJDUOT4wahLResSipsKK43IqicguKTFYUlllQWmHFyAGJGNonHpnZxfjmp3xoVDI8cGtfjBvcGdv3nMO0MT3gFUWUVthQWmlFSYUNpRU2lFRYca6wGgdO2mG1uxv9fWhVMhgilFCr5MjJqwQAjB3UCSdzK2CqtmP2hN6486beDGVERNe4Jr8F7rvvvkbvk897m45gz5FCeL0ipo3pEeriBLjc3kB32+WqqLbj2FkTcvIrodcq0DlOh05xWsRHayGXSXDivAn7s0uQk1+J0/mVqKhxNLkviQDIZFJs3X0GaqUMNocbggDERWmQFKdDvxExkEslqLE6UWN1YkiqsdEg9nMqpQz/c3sa/rLuAOQyKWaO64nUblEYnBIXaEkDgG4JenRL0De5nxuHJsHl9kIiESCV+ML1L2b0D6xPiNE2+VyHy4OqGgcqzQ5U1jhQUeNApdmOyhrf40qzA8P7JSDWoMJXmXno2dmAPt2i8dHOk/g84xxmjO2BqWN6IFKnbPH1EhHR1afJMPbkk092ZDmuOLlFNQCAVemH0SspEsfOmNCzsx6DU4whK9PnGWfx3qYjuHtSKu66OQVWhxtFZRYUm6woNllRUmGFXCbBjHE9cTq/Cr2SIgEAxihNvf14vCLeWJuJbw9eAABIJAK83rrB8hKJAINOCVO1HRIBSIqPwJBUo288lkYOnUaBCI0COo0ceq0COo0CGqUMoihif3Yxdh8sQJ/uUZg4vCtUistvFRreLwFrl9162ftpa4hVyqUwRmtgjNa0uO3jdwwK3J8xric2/PcUPtxxAhu/zsGk4V0xvF8CtGo5tGo5NCoZtCp5u4xR83pFSCRswSUiCkdNfhO+/fbb9R5LpVIYDAaMGTMGXbt2DXrBwtlPJ0pwodSMOTf1xse7TuGZ/9sNAIjQyPGL6f0xamAn6NS+VhlRFPH3zVnILarBMw9chz+vzURMpAozx/dC98S6lpra6322pcvz6JlyfJ5xDrsP5iNKr8La7cfx/aEC5BbX1AtRWpUMDpcHm745HVgmCMCk4d1QWGbBqbwK6NRyKBVSXCi14LYbemHsoE7olWSAzeFGQakZF0ot/lszFHIp5s8aAJ1GcYklFTBiQCJGDEhs9Wu8GvXpHo2lj4zA+aJqfPJ1Dj7POIdt351tsJ1MKoFWLYNGJYdW5b+9KKz5HvuWK2QSmKodKKuyoazShtJK322V2YEIjSJwEkNijDZwPyFGi5hIFbvbiYhCpMkwVlFRUe+x1+tFdnY23nzzTbz++usYP3580AsXjjxeEf/adhTGaA3unZwKuUyCH7OKcPuEZKzbcRz/99FB/G3jYcy5qTemju6O3QcvYMvuMwCAeS9uh8cfjr7cm4vBveOQZNTBI4rYc6QQDqcHSUYdRqUlYuSAROSX1OBsQTWGphphsbvQPVGPaH3dl6bT5cG/PzuGLd+egU4tx9QxPfDg1H74775crNl+HFNGdsPglDgYozSIj9FCp5aj2GTF9j3nUGKyoshkQbRehR0/nkf3RD1uvr4r7E43KmscuGVEd8yekBx43REaBVK7RSO1W3TH/9Kvct0S9Pj13KF4cGo/XCg1w2p3w2J3wWpzwWJ3w2r339pcvuV2t287/3qbo+GYNbVShliDGnEGNXp2ioQhQokqswNF5RYcP1+B7w5ewEU5Hd0T9Zg9IRk5eZWoMjsxOCUOQ1LjEBOp7sDfBBHRtUkQa5tkLlFOTg6WLFmCdevWBatMLXI4HMjKysKAAQOgVAZ3nE1mZiaGDh2K/+7LxZHT5SivsuHQqTL89r5huGFoUr1tRVFETn4lPtp5st6ZeN0SIvDIzAHYe6wI5VV2dEvQQxRF7MkqRHmlDS63F9f1i0e0XoVTeZU4cb7i58UIMOiU6JkUiW4JevyYVYiCMgumj+mBB6f3q9fl15oJUh0uD5RX4HQNmZmZnIAYvn8QbA5fWHO6PYiKUEGrbn4+QLfHi5IKK4rKrcgvrsH2H84jr7gGEgGI0CpQZXYCAHp2jsSzD1yHTnG6VpWJdRO+WDfhi3UT3i6nflrKLa0esJOcnAyLxdKmwlypvsrMw1/WHww8vr5fPMYN7txgO0EQ0LtLFBbdMxT/2XECsQY1kpMMSO5igFIuxZDU+uPJ7r+1L4CGwamgzIyDJ0vRPVGPqAgV0r/OQUoXAxwuD07nVyEnvxIHT5ZCJhHwwi+GY2Qj3X6t6XK6EoMY1ZFKBOjU8kDX+KWQSSXoFKtDp1gdhqYaMX1sTxw8VYqoCCW6Jeh9Z4qeKMH6nSfx4uofkNzFgEidAgadEnqdEgadApE631QekTolNCoZuzmJiNqoTaOnr7UP3S/35iJar8Jfnr4RoigiUqdsdjC0RiXHIzMHXPL+f/77rP2SrPXEnEE/fwqcLg/cHm+9MwaJ2koiETD0on8WenaORM/OkYiP0WDLt2dwOr8SVWYHLE1M4yGTShDpD2hREUqILguOlx5HTKQK0ZEqxOh9t5HauvdOblE18krMGJpqhPoSpvfweEWYquwoNllQUuGbZkQulcAQ4QuEvvnefPebOxkjr7gGmceLkZldgmqLE/Om9cWFUjO6xesxKKXh5MFERMHW6jD2+eefIy7u0j6wtm7dinfeeQculwsPPfRQk1NkfP3111i2bBl27drV2uIEndPtxfFzFZgxricMEeEz9YBCLuVM8BR0Ywd1xthBda3ALrcH1RYnKmscqDI7UWVxoMo/pUeV2emf3sOOojIbDpw5gZ8PgpBKBETpVdCp5ThXWB1YHq1XoVOcFp1idUiM1aJTrBad4nQorbDi24MXcPycCaUVtsCYy5bo1PK6gOYPaSqFFD+dKMHZAt9xuyZEwOX24sXVPwDwBcqlD4/A0D4tnxEtiv6uYf+YvYQYTWCSXyKi1moyjM2YMaPBsqqqKigUCrz77rst7ri4uBgrV65Eeno6FAoF5s6dixEjRiA5ObnedmVlZVi+fHkbit4xsvNscHu8uL5ffKiLQhRycpkUMZHqFgf2Z2ZmYtDgIaiscaC8yobyKjtM1XaUV9lRXmVDZY0Dowf2QZJRh4IyMwpKLSgss2Dv0SJUmuvPV6dTyzEoJQ5jB3WGMVqDeP9PnEENj1cMhMGKGn8wNNfN71ZZ48C5gmpUmR0w21xI7RaF+bcNwMgBiTBGaeBweZD+VQ6MUWps+fYMXvnnj7j9xmS4Pd7ASRNWhxsWmwtWu+9+7bKLg2bnOC0WzBkEmVQSmBTYN1GwDaZqO6IilP6Q6ZurLzFWi/goDaTS9pkTsCUerwib3dWKM58vj9vjRZXZgdJKG06er0D2OROOn6+AQafAE3MGI+NIAfr1iMF1fZv+XK0NvFVmJyx2F7olRDDw0lWryTC2dOnSeo8lEgmioqLQs2fPS+qmzMjIwMiRI2EwGAAAkydPxvbt2xvMX7ZkyRI8+eST+POf/9yG4geXKIrYc9yMznFaDLiECUiJqI5MKkGswXc9z9aw2l0oKLOgsNQCtUqGQb3jmu129F3equlJeWs1NteaUi7FPbekAgCu6xuPpe9mYP3Ok5DLJP5pQ2T+Hzk6xemgVsp804ooZYEpRQBg3Y4TeOGdjHr7jtAoEBelRlSEEhXVDhw7Ww6bwxNYL5UIMEZrkBCtQaROCb1WgQitAvqLfiI0dfcbCyI5eZVQKqToEh8RWJb+1Sk4XF7ceXNvCIKA4+dMeGfjIZwvqvFdX1UHnKk8id5dDEhOMkCnUcDjFXHsbDnio1qeL8/jFVFQasbZgiqUVthQaXagoto30XFFje9+jdVZ7zlxUWokxGiQdboci978xr/0FIb3S0C/HtGoNDt8La5mX6CuMjtRZXbA5fYG9qFVyTAqrRPGDemMQcmxHRZkiTpCk2Fs+PDhl7XjkpKSet2ZRqMRhw8frrfNBx98gH79+mHQoIZjosLB2YJqFFW48OSd/a65cXJEoaJRyX0nviQZ2nW/LU16G6lT4s1FN8Lj9ba6BWbMwE7Ye6wYeq0Cxig14qI0DcbBiaKIyhqHL2iWmVFQZkFBmQUlJisKyy2otjibvLQWAKiVUkRofaFN72/h+ulECQAguYsBNw5NwvnCany5NxcA8O2BfFSZfVe0iNQpcM8tqcgvMSMrpwgffJYd2G9KV4O/xdIOlUKKh6b3h0wqQW5xNXKLapBb5OvWTe0WjcoaB84UVMHhrAuVSoUUURFKREWo0DlOh/49YxAVoYIhQonoCCV6JRkQa1DD7fHiH5uz0ClOh3GDO2PX/lys+/IE9h4rgkLmG/un1/n20z1Rj0ht7VhABeRSKfYfL0bGkQLs3JcLg06JicO7YvLIbkiI0aKyxoGDp0pxrqAKMZFqJMb65tGLj2b3MV0ZWj21xaVatWoVbDYbFi1aBADYsGEDjhw5gmXLlgEATp48iWXLluFf//oXioqKMG/evEseM1Z7imiwHT5rRfoeExZMjYfRwIHyRBRcbo8Im9MLq8MLq8Pjv/X92Bz1l9udIvp2VUOnkuDQWSuKKlyQSoDrknXoFCPHnuNmGCPlSOmsQnKiCipFXUuS1eFFYYUT+WVOHM+3QaeSIq2bBvtzzMgt9bVqyaQCjJEyxEXK4fGKyC9zQq+RIjFKgcRoORKi5IjSyaCUt72Fyun2QhQBhUy4pH94XR4ROQV2HDxrwckLdogiEKWTosLsC4eCgAbjFCM1UkRFyBCtkyFKJ0WMXo4+nVW8IgWFRLtNbXGp4uPjsX///sDjkpISGI11A2O3b9+O0tJS3HHHHXC5XCgpKcG9996LDz/88JKPEex5xo4WH4NEMGHiDcPb7XqP1H44J0/4Yt10vIJSMzQqeeBEo4eb2C4zMxPjRl/f6LoHPF6cOF+BmEgVjFGasAwsIwHcD6C0woYv957HqbxK9O0ejcEpceiVZEC1xYGiMl9rY1G5xXdbZsGZYisqT/umZbp7YkpgaqHWKKu04VReBfr3jIVe2/7j7/i+CW/tMc9YU5oMY2+++SZ+/etft/ngo0ePxltvvQWTyQS1Wo0dO3bgpZdeCqxfuHAhFi5cCADIz8/HvHnzWhXEOkJhmQUGrYxBjIjCXmsn5m2MTCpB/ytkfGxclBr3Tu7TYHlUhApRESr07dHwaiFWuwuvrdmPT77OQWGZBSPTEjGsj7HeFEE2hxumajtMVXaU+29LKqw4nFOGvGLfNYmN0RosfXhEvUvaEV2OJsPYtm3bcM899+CPf/wj1qxZg5/3ZtYOzG9KfHw8Fi1ahHnz5sHlcmHOnDkYOHAg5s+fj4ULFyItLa1dXkAwuT1eyGTh958hERG1nkYlx4I5g7Buh2+s2rcHL0AmlaBX50iYbU6Yqh1NXF5Mij7dojFpeFckxGjxzsZDeGrFV4jUKdA5TofOcTokGXXo5L+fEKOt90+83eFGWZUN5ZV233Vjq2yorHYgLTkWo9ISOSaZmg5jY8aMwY033ggAGDFiRL11giAgOzu7kWfVN2PGjAZTZKxevbrBdklJSWE5x5goAnyLEBFdPYxRGiy8ewg8XhHHz5nwQ1YhTudXoUdUJIb1USHaP0FxtN73ExOpglpZ/woTKV0N+OanfOSXmHGh1Ix9x4oDJ04AvpNFEqI1kMskKKuyw2JzNSiHQi7Ftu/PoldSJO6ZlBqSCYdrpw8BwAnEQ6zJMPbHP/4Rf/zjH3Hfffdh7dq1HVmmsOEVRfAfFiKiq49UIqB/z5g2dcvGRKoxe0LvesvMNhcKSs2BgHahxAy3x4u0XrGIMagRG6ny36oRHamCTCLgq8x8/OfLE3j5n3shkwpIMMhxuOAo+veMQd8e0Yho5bxwLrcXNVbftCDVFieqzU5UW3z3qyxO3zKLb+qQav9jt8cLpUKK1c9NRJRe1erfBbWPFgfwr127FocOHcLu3bvhcrkwduxYXH9944M/rzaiCIYxIiJqkU4tR0rXKKR0jbrk50wc3hU3DE3CwZMlOHqmHHuP5GLL7tNI/zoHANCvRzRmjuuFkQMSIAL4IasQxeVWf7C6OHD5robR3NQoOrU8MGddfLQGvbsYoNcqoJBL8Z8dJ7Ds/R8RH6WBXC6BUi6FXFZ7K4VCLvFd9UVWe+tbJr94mdy/nUwa2FYul0IahieBhKMWw9jmzZvxxhtv4JZbboEoinj66afx1FNP4a677uqI8oWUVxTZTUlEREEjl0lwfb8EXN8vAWmJdgwYOBgncyuQdboc/92Xi1c/2AdjlBoyqQQFZb6zQRUyCfT+iYL1WgUSYrTQ63z3I7UK6Gvno9PVTR4sa2aS3BqLE9nnTcgtrobT5YXT5YHT7bu9eOLdtpBJBchlUl+wC4S1ulDXMPxdFO5k9UOgXO7bT6+kSBijmp+c+ErTYhj75z//iQ0bNgSmpZg/fz4eeeSRayKMiV6RAyuJiKjDKOVSpPWKRVqvWNw1MQV7jxZiy+4zsDvcWPKL4RjUOw5KhbRdv5v+Z/bAJtd5vSLcnvoBzffjhdPtgcvlhaP21uWBy+1pEOicFy1zXbwPtxc1FifK/fddLg8cLq9/Hx40dynaJKMOQ1ONGJJqxIBeMTh7oRrbfzgHAEjrFYuBybHNXk2iyuyA1yuGTddsi2HM6/XWmx8sPj4eEsm1MdWDKAJsYSUiolCQSgSMSuuEUWmdQlYGiUSAQuJrqepIoijC4xXrBT+nywOr3Y1jZ8tx4EQptu85hy27z0AiEeD1itCqZJBKJdi1Pw8AEB+twcDkWPTpHo1qixMX/OP58kvMqLE6IRGAW0Z2x32T+wTm5wuVFsOYwWDAzp07MXHiRADAzp07ERkZGfSChQMO4CciIup4giBAJhUgk0qg+VnjVUrXKNx2QzIcLg+OnSnH4ZwyxEdrcOPQJCjkUuQW1+BwTikOnypDxpHCwJmuURFKdDbqMGZQJ3SO06G43ILP9pzDtwfy8cIvhmNgcsef0VqrxTC2dOlSLFiwIDBhq1wux1//+tegFywccAA/ERFReFLKpRji76q8WPdEPbon6jFzXC94vCKKyi2I1CmhUzecvmPqmB7Y+NUpuN1BuTLkJWsxjPXu3Rvbt2/HuXPn4PV60aNHD8hkQbuKUljxDeBnGiMiIroSSSUCOjdzdYou8RH49dyhHViixl1SqpJKpejVq1ewyxJ2RHZTEhERUZBdGyPx24jdlERERBRsDGPN4DxjREREFGyXFMYOHz6MdevWwel04sCBA8EuU9hgNyUREREFW4thLD09Hc899xz+/ve/o6amBgsWLMBHH33UEWULOa8ITvpKREREQdViGFuzZg3Wr18PnU6HmJgYpKen49///ndHlC3kRHZTEhERUZC1GMYkEgl0urrTQhMTEyGVduxMvKEiejmAn4iIiIKrxTBmMBiQnZ0d6K7bsmULZ+AnIiIiaictzjP2/PPP41e/+hVyc3MxduxYKJVK/O1vf+uIsoWcbwA/0xgREREFT4thzG63Y/PmzTh37hw8Hg969OgBubzhJQWuRl4RHDNGREREQdViN+Vvf/vbwAz8KSkp10wQAzi1BREREQVfi2EsNTUVW7duRUFBASorKwM/1wKGMSIiIgq2Frsp//vf/2L79u31lgmCgOzs7KAVKlywm5KIiIiCrcUwduTIkY4oR1jiAH4iIiIKthbDmNPpxDfffAOLxQIA8Hg8yM3NxaJFi4JeuFDz8kLhREREFGQthrFFixYhLy8PpaWl6NevHw4dOoThw4d3RNlCji1jREREFGwtDuDPzs5Geno6br75Zjz//PNYt24dampqOqJsISd6eTkkIiIiCq4Ww5jRaIRMJkP37t1x8uRJJCcnw2azdUTZQo4XCiciIqJgazGMaTQabN26FX369MHnn3+OEydOcGoLIiIionbSYhj7/e9/j+zsbIwZMwYSiQT3338/Hn744Y4oW8iJnNqCiIiIgqzFAfzdu3fH7373OwDAm2++GezyhBVeKJyIiIiCrcUwlpmZibfffhvl5eUQRTGwfOvWrUEtWDhgNyUREREFW4thbOnSpbjrrrvQt2/fa24wu28G/mvrNRMREVHHajGMKRQKPPTQQx1QlPDDljEiIiIKthYH8Pfs2bPNl0TaunUrpk6dikmTJmHt2rUN1n/55ZeYMWMGpk2bhsWLF8PpdLbpOMHCMEZERETB1mTL2IwZMwAAFosF99xzD7p06QKZrG7zlsaMFRcXY+XKlUhPT4dCocDcuXMxYsQIJCcnAwCsViuWLVuGTz75BLGxsVi0aBE++eQT3H333e3xutoFL4dEREREwdZkGFu6dOll7TgjIwMjR46EwWAAAEyePBnbt2/Hk08+CcA3f9muXbsgl8thtVpRXl4OvV5/Wcdsb5yBn4iIiIKtyTA2fPhwiKIIj8cDmUwGs9mMjIwMpKSkoHv37i3uuKSkBHFxcYHHRqMRhw8frreNXC7HN998g9/97ncwGo0YO3Zs219JEHAGfiIiIgq2JsNYTk4OfvnLX2Lp0qUYNWoU7rzzTgiCALvdjpdeegljxoxpdscXT4NRq7Fgc8MNN+DHH3/EG2+8gRdffBF//vOfL7nwWVlZl7xtW3i9XgiCb3oPCk+sm/DFuglfrJvwxboJb8GqnybD2GuvvYZf//rXmDBhAjZu3AhRFPHpp5+iuLgYixYtajGMxcfHY//+/YHHJSUlMBqNgceVlZXIysoKtIbNmDEDixYtalXhBwwYAKVS2arntMp/8iEAGDZsWPCOQW2WmZnJuglTrJvwxboJX6yb8HY59eNwOJptQGrybMrCwkLMnDkTAPDjjz9i4sSJkEgkSExMhNlsbvHAo0ePxp49e2AymWCz2bBjxw6MHz8+sF4URTzzzDMoKCgAAHz++ecYOnToJb+wjsAB/ERERBRsTYYxiaRu1YEDB3D99dcHHjscjhZ3HB8fj0WLFmHevHm47bbbMH36dAwcOBDz58/HkSNHEBUVhZdeegn/8z//g5kzZ+LcuXN45plnLvPltJ/ablaOGSMiIqJgarKbMjIyEsePH4fZbEZpaWkgjP3000+Ij4+/pJ3PmDEjMEVGrdWrVwfuT5w4ERMnTmxLuYPO6x/yxihGREREwdRkGHv66afx0EMPwWw247e//S00Gg3+8Y9/YNWqVfjrX//akWUMibqWsRAXhIiIiK5qTYaxwYMH49tvv4Xdbg/M/zVkyBBs2LDhkqa2uNIxjBEREVFHaPbalAqFAgqFIvA43AbYB1Ogm5JhjIiIiIKoxWtTXqtEfxoTOGqMiIiIgohhrAledlMSERFRB2AYa4LIbkoiIiLqAAxjTQgM4A9xOYiIiOjqxjDWhLoB/IxjREREFDwMY03g1BZERETUERjGmsAB/ERERNQRGMaaIPJySERERNQBGMaawG5KIiIi6ggMY03wen23HMBPREREwcQw1gRObUFEREQdgWGsCRzAT0RERB2BYawJDGNERETUERjGmlB3NiXTGBEREQUPw1gTvF62jBEREVHwMYw1gVNbEBERUUdgGGtCoJuSYYyIiIiCiGGsCXUD+JnGiIiIKHgYxprAyyERERFRR2AYa0KX+AjMHNcT3YzKUBeFiIiIrmIMY02QyySYf1saNEr+ioiIiCh4mDSIiIiIQohhjIiIiCiEGMaIiIiIQohhjIiIiCiEGMaIiIiIQohhjIiIiCiEGMaIiIiIQohhjIiIiCiEGMaIiIiIQiioYWzr1q2YOnUqJk2ahLVr1zZYv3PnTsyaNQszZ87EggULUFVVFcziEBEREYWdoIWx4uJirFy5Eh9++CE2b96M9evXIycnJ7DebDbjxRdfxHvvvYctW7YgNTUVb731VrCKQ0RERBSWghbGMjIyMHLkSBgMBmg0GkyePBnbt28PrHe5XHjxxRcRHx8PAEhNTUVhYWGwikNEREQUloIWxkpKShAXFxd4bDQaUVxcHHgcFRWFiRMnAgDsdjvee++9wGMiIiKia4UsWDsWRbHBMkEQGiyrqanBggUL0KdPH9x+++2tOkZWVlaby9camZmZHXIcaj3WTfhi3YQv1k34Yt2Et2DVT9DCWHx8PPbv3x94XFJSAqPRWG+bkpISPPLIIxg5ciSef/75Vh9jwIABUCqVl13W5mRmZmLYsGFBPQa1DesmfLFuwhfrJnyxbsLb5dSPw+FotgEpaN2Uo0ePxp49e2AymWCz2bBjxw6MHz8+sN7j8eCxxx7DrbfeihdeeKHRVjMiIiKiq11QW8YWLVqEefPmweVyYc6cORg4cCDmz5+PhQsXoqioCMeOHYPH48EXX3wBwNfS9corrwSrSERERERhJ2hhDABmzJiBGTNm1Fu2evVqAEBaWhqOHz8ezMMTERERhT3OwE9EREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCHEMEZEREQUQgxjRERERCEU1DC2detWTJ06FZMmTcLatWub3O7ZZ59Fenp6MItCREREFJaCFsaKi4uxcuVKfPjhh9i8eTPWr1+PnJycBts89thj2L59e7CKQURERBTWghbGMjIyMHLkSBgMBmg0GkyePLlB6Nq6dStuvvlm3HrrrcEqBhEREVFYkwVrxyUlJYiLiws8NhqNOHz4cL1tHn30UQBAZmZmsIpBREREFNaCFsZEUWywTBCEdj1GVlZWu+6vKQyL4Yt1E75YN+GLdRO+WDfhLVj1E7QwFh8fj/379wcel5SUwGg0tusxBgwYAKVS2a77/LnMzEwMGzYsqMegtmHdhC/WTfhi3YQv1k14u5z6cTgczTYgBW3M2OjRo7Fnzx6YTCbYbDbs2LED48ePD9bhiIiIiK5IQQtj8fHxWLRoEebNm4fbbrsN06dPx8CBAzF//nwcOXIkWIclIiIiuqIErZsSAGbMmIEZM2bUW7Z69eoG27366qvBLAYRERFR2OIM/ERERHTNauyEw44W1JYxIiIioub4wpAI1IaiwGNArF1+8TK3E6LbCa/bCdHlgOh2wmOtgcdSCa/D5lvvXy66Xb7tLv5x+Z/vtMNjq4HXbkXsrb+EfvDNIfsdMIwRhQnR6/F9SIhewOsFRC/E2lvR03CZ/xZer+85P1/m9dTf3uOG6HZB9Lh8t26nf5nTv8wNXb/RUHXpG+pfxVVDFL2Ax+P7PXvdED1uwOt/HLjvCdRfvToUxYvu1y4X/X8PXsDrgbvGBK+tBl6HDV6XA7o+o6Dp3fqzvbxuJ7zWanjMlfDYauq+rNwOiG4X3FWlcJbmQd09DfrBN0Oi0gbht0UXE0UR8Ljhddkhupzw2GrgqS6H1+P0/U15Pb6/H68X8Loh1r7nvRet83gA0fdY9HoBj9u/vafetu7qMngslYAI1IYi392LQlKg9Uisa0m6KCBB9P7sOXX78i32NlgW2DYYBAkEmQKCXAFBpoBE5rsVZHIIcgUkGj1kkUZINBGQqvVQ90gLTjkuEcMYURNEUfR9yHncvg+12i9R/61vnf9DLfBl67loudv/oenbh9dugddugcdmhtdeA6/N7L/vuxWdttC8UEECQSYHRBHmI1+j88OvQaLUwOt2wGuzwF1T7g98jQXCxkOiMi8XFfbzF4VFT11o9H9peO0WSBQqxNzyMASJtENfsiiK8DqsvgBiq4HHWg13VSncFUXw2K0AvPXK2zAEXxyKvL46tNb4Qm3t34PH7Xv9wSaRQaJUASJgzvoWCXOehSK+OzzWKngsVYFbr90C0eOCuqAApcX7fGV1OWDPPwFPjan5Y0hlkEfGwXT6J1Ts/gj6wTdDf/00yA110xXVvi98gd8NeFyB0Cn673utNVB16XPFhTlR9AZel+hywmOphMdaXfe+r/1MCHw+eOo+O7wefyB3+UNR3d+H12mD12b2fTa4HdCba3B+twivywHR5Wyfvx+JDIJUCkikECQSCBIZIJH43nMSKQSJFBKVFqqkPoAgABAAAb5bCL75QWvnCL1ovYCLl0vqniMI/rsX7UuQ+J/uX9bIeuHi4/7seMJF+4AgQJD6A5VMGQhcEnUEZNpISFRa3zLplRVvrqzSUrur/ZCUKNShOb7XE2it8dot8Jgr4TZXwFWaB2dZLkSXE16XA8rEXoi+6YFWTRzs++B0wOtyQnTZfR9wbidEZ919r9MeaM72Ou3w2mrgrjHBU2OCu7oUHktV+75giRRStQ4SlQ4StQ6yiGhIjN0gUesgVWkhyFUQJBL/h5skcD+wTCKBcPFtY8t+9pzAOqnc919h7a3/PiRSCIIAl6kQ+aufRt47T172y9QAqDjZ8LVfXD6JXAGPpQqKuC6QGeLrWu0CLXeui1ru3BcF47ofeD3NBKaGwdFrt8Brq4HHWtPoF50g832oC4LQ8PcokQCC1Pdl8LPfsyzSCGViLwgyBSCVQfB/yQlSOSCVQqhdJpX5vxz9X5BSGQRB+rO6EwJ1W/e38LNj+pdJI6Ih9Qcbr8OKgjW/R9FH/9t4pQgSCFIZFJDAWq7ylUEmh6pzChTxPSDVRkKqiYRUo4cgV/q/7PytCioNBKkcjsLTqNq7DVX7P0fVvs8gUajq6uISg4M8rgsS5y6FTB/Tir+o+kRRrHsvO22+lkGnzfde9rjr/gHw1LYKuQP/BIhOO1ymgkDgEd0O/+fBz//26u7D625zWQP8v/+L/z4kSg0kKq3v/S+PgVlugSG+EyRyhb8OVIH7EpUOMn0MJHJlIFhBIvOHKl/I8i3z7RtS//uNrggMY1cRr9sJt6nQFybMFXCbKy/qN7+4j93pW19dBo+5EpBIYBg5C4Zxd0IiU0AURXhqyuGuLvN9SDnr9uF1/azv3b8/r7+r6+KWoEAXTG0L0UVdNR5rNUSnvdkPcHl0JwgKNQARVT9shuhxQxHTOTBOQJV3HuWmw/BYq+Eszav7MPYHsLZ8gErUOkh10ZBFREEd1xXyqHj/F+jPv1BrH8t8H3q1j2vX+b9wL14nUWohKFTtfiWK9iKPTkTi/X+EPfeY74tApoBEoYIs0njRB35j4VDaIBAeOHQYQ4YNqx8Sf8brcuD8Xx5F2faGZ1g3SioL/I4Dv9/aL6WfB9RGgqwgU0AeY4BUo4dUHQGJRg+pv4tCoo6ATB8DqS4qbOunJRKlBglzX0D1vk8hizT6wlVtwNJGQlCoIQjCZU1cqUzsBeOsXyF6wv2oOfRfeGxmf53IA+Eu8D64eLn/vquyGKav1qLg389DkzrC18XqclzUsuxvXa4N3BcFcFwcxN2X12ok1RogUWrqh06VDpDKIJEpAKkcEpkckPlvpXX/xEhkckj8v1ff65P6Pwdkgft1nxEXfV5cQjC6kJmJOE76ek1iGLtC1Ose87jhsdXAWZYHZ0kuXKW5cJbmwmUqauQDSgj0kQuyuh+ZNhKaXkMg08fBVVGIyox01BzaBUEq8wUlt7PlQgmS+vut90UpDTSPS+RKQCmtWy6V+b4AleqLWmtkkKh0kOoMkGoNkEVEQ6rR+167KKJ44+uo3vdpvcOrIKA6TwmJSgOFsTsUqiT/h6sSEv9t3X0FJHJV3YdvY/dl8mv+P0lV5xSoOqdc/o78YzSaI5ErkfTwcriry/1/AwoIMv8XeO3fk78FDxLZFRuSOpJMF4XoCfcH/zj6GESNu6tNz1V1TkXxxtdQc/grSFU6CAplIMAIUpkv/CjV9UIcLvpnJxD+FGpIFCpIlGpIFGr/Y6W/G056Udecv6WotuVIKgu0JhKFC4axEPDaLXCbKwJjhbx2M7w2M9zmCnhqTL6uFKfdN6bFaQusb5wAeXQC5HFdoe07GorYLpDpY32hRhfl+1K7hC8x3cAbUfPTDghyFaQaPWSRcZBHJ0KiUEGQ+UKLIFdAkCp8zeYd2CcvCALi73gG7qrSurECcgV+OnAIw667rkPKQMEhj+4EeXSnUBeDOpAysSe6Prkq1MUgCisMYx3A67DCUZADR9EZ2M4egu1cVuNN7FIZZLpo3xgCpRqyiGgISjUkSg1ktcHKP+ZEolRBEdsF8tgkX8vTZdL0GARNj0GXvZ9gEQSh3mBh/8LQFIaIiKgdMYy1A9Htgttsgu30AbhMhfA67XAUnAqcvXTxYGF5dCcYRs2CwtjNN4hbpbtoQLf2mu8mIyIiutYwjF0GW+5RVO7eAFtudmCwuCBXQaJQQh7dCYqEnhCkckh1BqiSUqFM6AWpJiLEpSYiIqJwwjDWCh6bGY6CU3AUnobtzEHY87Ih1UUhcsR0yKMToUzoBWVCj1AXk4iIiK4gDGOXwGUqQPEnK+EsOhNYJo/riuiJD0I/dHK7jNkiIiKiaxPDWAsEezUKPvgbRNGLqBvu8Xc39rziZpAmIiKi8MQw1gxXRRH0e/4Nr9eJzr94FYq4rqEuEhEREV1leOpeMyp2b4DgdiDx3t8ziBEREVFQMIw1w2OphEcX67uAKhEREVEQMIw1w+u0Q2zhki5EREREl4NhrBmi0w5RyjBGREREwcMw1gyvyw5RKg91MYiIiOgqxjDWDNFpB9hNSUREREHEMNYML7spiYiIKMgYxpogil6I7KYkIiKiIGMYa4Locvhu2U1JREREQcQw1gSv0w4A7KYkIiKioGIYa4LoD2McwE9ERETBxDDWBEGmACDAq9KHuihERER0FWMYa4JMH4OuC9+DO5rXpCQiIqLgYRhrhiwiOtRFICIioqscwxgRERFRCDGMEREREYUQwxgRERFRCDGMEREREYVQUMPY1q1bMXXqVEyaNAlr165tsD47Oxt33HEHJk+ejBdeeAFutzuYxSEiIiIKO0ELY8XFxVi5ciU+/PBDbN68GevXr0dOTk69bZ555hksXboUX3zxBURRxEcffRSs4hARERGFpaCFsYyMDIwcORIGgwEajQaTJ0/G9u3bA+svXLgAu92OwYMHAwBmz55dbz0RERHRtSBoYaykpARxcXGBx0ajEcXFxU2uj4uLq7eeiIiI6FogC9aORVFssEwQhEtefymysrJaX7A2yMzM7JDjUOuxbsIX6yZ8sW7CF+smvAWrfoIWxuLj47F///7A45KSEhiNxnrry8rKAo9LS0vrrb8UAwYMgFKpvPzCNiMzMxPDhg0L6jGobVg34Yt1E75YN+GLdRPeLqd+HA5Hsw1IQeumHD16NPbs2QOTyQSbzYYdO3Zg/PjxgfWdO3eGUqkMpMxNmzbVW09ERER0LQhqy9iiRYswb948uFwuzJkzBwMHDsT8+fOxcOFCpKWlYcWKFViyZAksFgv69euHefPmXdK+a7s4nU5nsIpfj8Ph6JDjUOuxbsIX6yZ8sW7CF+smvLW1fmrzSmNDtABAEJtaE8Zqampw8uTJUBeDiIiI6JKlpKQgIiKiwfIrMox5vV5YLBbI5fJWD/onIiIi6kiiKMLlckGr1UIiaThC7IoMY0RERERXC16bkoiIiCiEGMaIiIiIQohhjIiIiCiEGMaIiIiIQohhjIiIiCiEGMaIiIiIQohhjIiIiCiEGMaasHXrVkydOhWTJk3C2rVrQ12ca9Lbb7+NadOmYdq0aXjttdcAABkZGZgxYwZuueUWrFy5MrBtdnY27rjjDkyePBkvvPAC3G53qIp9TVm+fDkWL14MoOk6KCgowH333YcpU6bg8ccfh8ViCWWRr3q7du3C7NmzMWXKFLz88ssA+L4JJ5s3bw58ri1fvhwA3zuhZjabMX36dOTn5wNo/fulXepJpAaKiorECRMmiBUVFaLFYhFnzJghnjp1KtTFuqZ8//334t133y06HA7R6XSK8+bNE7du3SrecMMNYm5uruhyucSHH35Y/Prrr0VRFMVp06aJBw4cEEVRFJ977jlx7dq1ISz9tSEjI0McMWKE+Oyzz4qi2HQd/PKXvxS3bdsmiqIovv322+Jrr70WkvJeC3Jzc8WxY8eKhYWFotPpFO+55x7x66+/5vsmTFitVvH6668Xy8vLRZfLJc6ZM0f8/vvv+d4JoYMHD4rTp08X+/fvL+bl5Yk2m63V75f2qCe2jDUiIyMDI0eOhMFggEajweTJk7F9+/ZQF+uaEhcXh8WLF0OhUEAul6NXr144d+4cunXrhi5dukAmk2HGjBnYvn07Lly4ALvdjsGDBwMAZs+ezfoKssrKSqxcuRKPPfYYADRZBy6XC/v27cPkyZPrLafg+PLLLzF16lQkJCRALpdj5cqVUKvVfN+ECY/HA6/XC5vNBrfbDbfbDZlMxvdOCH300Uf4wx/+AKPRCAA4fPhwq94v7VVPsnZ7RVeRkpISxMXFBR4bjUYcPnw4hCW69vTu3Ttw/9y5c/jss8/wwAMPNKiX4uLiBvUVFxeH4uLiDi3vteb3v/89Fi1ahMLCQgAN3zO1dVBRUQGdTgeZTFZvOQXH+fPnIZfL8cgjj6C0tBQTJkxA7969+b4JEzqdDr/61a9w6623QqVSYfjw4ZDL5XzvhNArr7xS73Fj3//NvV/aq57YMtYIsZHLdfKC5KFx6tQpPPzww3j22WfRtWvXBusFQWB9dbANGzYgMTERo0aNCixrqg5YNx3L4/Fgz549eP311/HRRx/hyJEjgXEwF2PdhMbx48exceNGfPXVV/juu+8gkUjw/fffN9iO9RM6rf0sa696YstYI+Lj47F///7A45KSkkATJnWczMxMLFy4EM8//zymTZuGvXv3oqysLLC+tl7i4+PrLS8tLWV9BdFnn32G0tJSzJo1C1VVVbBarRAEodE6iI6OhtlshsfjgVQqZd0EWWxsLEaNGoXo6GgAwM0334zt27dDKpUGtuH7JnS+++47jBo1CjExMQB8XVr/+Mc/+N4JIz9/X7T0fmmvemLLWCNGjx6NPXv2wGQywWazYceOHRg/fnyoi3VNKSwsxBNPPIEVK1Zg2rRpAIBBgwbh7NmzOH/+PDweD7Zt24bx48ejc+fOUCqVyMzMBABs2rSJ9RVE//znP7Ft2zZs3rwZCxcuxE033YQ//elPjdaBXC7Hddddh88++6zecgqOCRMm4LvvvkN1dTU8Hg92796NKVOm8H0TJvr06YOMjAxYrVaIoohdu3Zh+PDhfO+EkdZ+z7RXPQliY21shK1bt+Ldd9+Fy+XCnDlzMH/+/FAX6Zry8ssvY+PGjfW6JufOnYvu3bvjT3/6ExwOB2644QY899xzEAQBx48fx5IlS2CxWNCvXz/86U9/gkKhCOEruDakp6dj7969ePXVV5usgwsXLmDx4sUoLy9HYmIi3njjDURGRoa66Fetjz/+GP/617/gcrkwZswYLFmyBD/++CPfN2HivffeQ3p6OuRyOdLS0vCHP/wBZ8+e5XsnxG666SZ88MEHSEpKwp49e1r1fmmPemIYIyIiIgohdlMSERERhRDDGBEREVEIMYwRERERhRDDGBEREVEIMYwRERERhRDDGBG1Wn5+PlJTU3Hfffc1WPfcc88hNTUVJpMJR44cwcKFC1u9/9WrV2PWrFmYOXMmpk+fjuXLl8PpdAIAFi9ejH/84x+X/Rouxdy5czFr1ixMnToVffv2xaxZszBr1iz85je/wY8//ojp06cH7dg33XQTjhw50qrnNPW7MZlMSE1Nba+iEVE74wz8RNQmSqUS586dw4ULF9C5c2cAgNVqDUyKCABpaWn4v//7v1bt9/PPP8fOnTuxfv16qFQqOBwOLFy4EG+//Taefvrpdn0NLVm3bh0AX/icMWMGNm/eHFj3448/dmhZiOjqxTBGRG0ilUpx6623YuvWrXjssccAADt27MDNN9+M999/H4AvsLz00kvYtm0bFi9eDJ1OhxMnTqCoqAg9e/bEG2+8Aa1WW2+/paWl8Hg8sNvtUKlUUCqVWLp0KUwmU2CbAwcOYO7cuSgrK0Pv3r3x5z//GRqNBh9//DHWr18Pl8uFqqoqzJ8/H/feey/S09Px8ccfw2azQafTYc2aNdiwYQP+85//wOv1wmAwYOnSpejVq1erfgdWqxWLFi3CmTNn4HA48PLLL+O6667D4sWLUVlZiby8PNx444341a9+hRUrVmDfvn3weDzo168flixZAp1Ohw8//BDr1q2DXC6HUqnEsmXLkJycDABYv349/vCHP8BkMmHWrFlYtGhRYPmaNWsgkUgQGxuLpUuXokePHvXKtmPHDqxcuRJqtRoDBgxoXeUSUYdiNyURtdltt92GLVu2BB5v2rQJt99+e5PbZ2Vl4R//+Ac+++wzlJSUYPv27Q22uf3226HX6zF27FjcfffdePXVV1FYWIiBAwcGtikuLsY///lPfPHFFyguLsaOHTtgsViwYcMGvPfee9i0aRNWrlyJ119/PfCcnJwcrFmzBmvWrMHevXuxadMmrF27Fps2bcKjjz6Kp556qtWvv6ioCA899BA2b96MuXPn4q233gqss9vt+PTTT/HMM8/gvffeg1QqRXp6OrZs2QKj0YgVK1bA4/Hgf//3f/H3v/8dGzduxF133VWvZVGpVCI9PR0bNmzA+++/j8LCQuzZswd///vf8cEHH2DLli2YPn06nnjiiXoXLC4rK8Pzzz+Pt956C+np6YGWSyIKT2wZI6I2GzBgACQSCbKyshATEwOLxYKUlJQmtx83blzgcjspKSmoqqpqsE1ERATef/995OXl4YcffsDevXvxy1/+Evfeey+eeeYZAMDEiROhVqsBAL1794bJZIJWq8WqVavwzTff4Ny5czh+/DisVmtgv6mpqdDpdACAr7/+GufPn8fcuXMD66uqqlBZWQmDwXDJr79Lly4YNGgQAN91Bzdu3BhYN2zYsMD9r7/+GjU1NcjIyAAAuFwuxMTEQCqVYsqUKZg7dy5uvPFGjBkzBjNmzAg8r3ZMWlxcHGJjY1FeXo7du3dj6tSpgYuBz549G6+88gry8/MDz8vMzERKSkqghe3uu+/GG2+8ccmvi4g6FsMYEV2WmTNnYsuWLYiOjsasWbOa3ValUgXuC4KAxq7Gtnr1agwbNgxDhw5Fly5dcOedd2L//v2YP39+IIzJZLIG+ykqKsLdd9+Nu+66C8OGDcOUKVPw1VdfBbbTaDSB+16vF7NmzQrsz+v1oqSkpNXXk5PL5U2+np8f7/nnn8cNN9wAALBYLHA4HACAFStW4OTJk8jIyMDq1avx8ccf45133mnydTb2OxNFEW63u8myXLwfIgo/7KYkossya9YsbN++HZ999lm7nF1ot9vx5z//GZWVlYFlZ8+eRb9+/Zp9XlZWFqKjo7FgwQKMGzcuEMQ8Hk+DbceMGYNPP/0UJSUlAID//Oc/ePDBBy+77E0ZO3Ys1q5dC6fTCa/Xi6VLl+KNN96AyWTCDTfcAIPBgIceegi//vWvceLEiRb39dlnnwXG0G3cuBEGgwHdunULbHPdddchJycHx48fB+C7oDsRhS/+u0RElyU+Ph69evVCREREq7r4mrJgwQIIgoC5c+dCEAR4vV4MGDAAb775ZrPPGzNmDD7++GNMmTIFarUaAwcORHR0NM6fP99g23HjxmH+/Pl4+OGHIQgCdDod3n77bQiCcNnlb+o1LV++HLfffjs8Hg/69u0bOKHh8ccfx0MPPQSVSgWpVIqXX365xdf50EMP4cEHH4TX60V0dDTeffddSCR1/1tHR0djxYoV+O1vfwu5XI7rr78+KK+LiNqHIDbW5k1EREREHYLdlEREREQhxDBGREREFEIMY0REREQhxDBGREREFEIMY0REREQhxDBGREREFEIMY0REREQhxDBGREREFEL/H51JFTKbwZ/YAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total = df_cum_sum.groupby(\"share_count\")[\"count\"].sum().reset_index()\n",
    "total.columns = [\"share_count\", \"total\"]\n",
    "df_cum_sum = df_cum_sum.merge(total, on = \"share_count\")\n",
    "df_cum_sum[\"percent\"] = df_cum_sum[\"count\"] / df_cum_sum[\"total\"]\n",
    "df_cum_sum.to_csv(\"data/fb_breakdown_ccdf_data.csv\", index = False)\n",
    "ax = sns.lineplot(x = \"share_count\", y = \"percent\", hue = \"type\", data = df_cum_sum[(df_cum_sum[\"share_count\"] < 1000)])\n",
    "ax.set_xlabel(\"Min Share Threshold\")\n",
    "ax.set_ylabel(\"Share of URLs\")\n",
    "plt.gcf().set_size_inches(10, 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Facebook Investigation (Appendix 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext rpy2.ipython"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "fb_df = pd.read_csv(\"data/fb_hist_data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R -i fb_df\n",
    "library(tidyverse)\n",
    "library(grid)\n",
    "fb_df <- fb_df %>%\n",
    "  select(threshold, num_total_urls, num_fake_urls) %>%\n",
    "  mutate(across(everything(), ~str_remove_all(.x, \",\")), across(everything(), as.numeric))\n",
    "fb_df %>%\n",
    "  pivot_longer(cols = c(\"num_total_urls\", \"num_fake_urls\"), names_to = \"url_type\", values_to = \"count\") %>%\n",
    "  mutate(url_type = ifelse(url_type == \"num_fake_urls\", \"False News URLs\", \"Non-False URLs\")) %>%\n",
    "  ggplot(aes(x = threshold, y = count, fill = url_type))+\n",
    "  facet_wrap(~url_type, scales = \"free_y\") + \n",
    "  ylab(\"Number of Unique URLs\") +\n",
    "  xlab(\"Minimum amount of public shares\") +\n",
    "  theme_bw() +\n",
    "  theme(text = element_text(size=16), legend.position = \"none\") +\n",
    "  scale_fill_manual(values=c( \"#4572c4\", \"#a5a5a5\")) +\n",
    "  geom_col() + \n",
    "  annotation_custom(grob) + \n",
    "  coord_cartesian(clip = \"off\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
